3D Laser Scanning for Road Surface Depression Detection
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Solution Overview
Problem
Conventional methods for repairing road surfaces are inefficient in accurately detecting unevenness and predicting material costs due to reliance on manual inspections and low-accuracy measurement techniques, making it difficult to specify repair locations and estimate necessary materials and cutting volumes.
Innovation Solution
A ground information detection method and system using a three-dimensional scanning device to acquire point group data, which calculates elevation differences based on reference surface data, enabling accurate detection of road surface depressions and material needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual inspection methods are used to measure road surface depression, then the inspection process can be performed with simple equipment, but the measurement precision and accuracy of depression detection are insufficient
Solution Approach 1:
The patent replaces manual mechanical inspection methods with a three-dimensional scanning device that uses laser light to automatically measure road surface depression. This substitution of mechanical/manual systems with optical scanning technology achieves high-precision depression detection while maintaining relatively simple device requirements.
Solution Approach 2:
The patent creates a three-dimensional digital copy of the road surface by acquiring point group data through laser scanning. This digital model allows for precise depression measurement and analysis without requiring complex physical measurement equipment during the inspection process.
2Reliability
If conventional road surface measurement devices are used to calculate depression based on a reference surface, then the device structure can be simplified, but the accuracy of repair location specification and material cost prediction becomes uncertain
Solution Approach 1:
The patent transitions from two-dimensional reference surface measurement to three-dimensional point group data acquisition. By capturing spatial coordinates in three dimensions, the system achieves more accurate depression detection and repair location specification while managing device complexity through efficient data processing.
Solution Approach 2:
The patent performs preliminary three-dimensional scanning to create a digital model of the road surface before repair work begins. This advance measurement and analysis allow for accurate specification of repair locations and reliable material cost prediction, preventing rework and ensuring measurement reliability.
3Measurement precision
If a three-dimensional scanning device is used to acquire point group data for accurate depression detection, then the measurement precision is improved, but the device complexity and measurement cost increase
Solution Approach 1:
The three-dimensional scanning device performs multiple functions including road surface scanning, point group data acquisition, and depression analysis. By consolidating these functions into a single device, the patent achieves high measurement precision while managing device complexity through multi-functionality rather than requiring separate specialized equipment for each task.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system allows for precise identification of repair locations and accurate prediction of material costs, reducing the need for manual measurements and lowering costs by providing highly accurate profiles comparable to leveling surveys.
Implementation Method 1
point group data generated as three-dimensional coordinates for each point on a ground with laser light emitted from a three-dimensional scanning device
Data Source
AI summary
The ground information about the uneven state of the ground is easily detected. A ground information detection method according to the present invention includes: a point group data acquisition step for acquiring point group data generated as three-dimensional coordinates for each point on the ground with laser light emitted from a three-dimensional scanning device installed at a known point; and a ground information detection step for detecting ground information about an uneven state of the ground using the point group data acquired at the point group data acquisition step.